Paper Citation Record · LEDGER

Investigating Forgetting in Pre-Trained Representations Through Continual Learning

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2305.05968.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2305.05968 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:03:49.858690Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T00:09:14.313441Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 55f51b3b-bfad-4c17-b5d1-826d8bf5be39 · inbound

DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations cites this paper.

DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations Investigating Forgetting in Pre-Trained Representations Through Continual Learning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-08T17:03:49.858690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ade0fdf9-3982-465e-ba09-76d49a61ad9c · inbound

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective cites this paper.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective Investigating Forgetting in Pre-Trained Representations Through Continual Learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T13:55:27.119883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3930e000-2abf-4fc2-9d7c-c52df28c125e · inbound

PEFT-MedSAM: Efficient Fine-Tuning of Medical Foundation Models for Explainable Skin Lesion Segmentation cites this paper.

PEFT-MedSAM: Efficient Fine-Tuning of Medical Foundation Models for Explainable Skin Lesion Segmentation Investigating Forgetting in Pre-Trained Representations Through Continual Learning

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:09:14.316012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8efed4fc-1766-4225-aa71-b62835889004 · inbound

Latent-LoRA: Compact Latent-Space Adapters with Gradient-Free Routing for Continual Learning cites this paper.

Latent-LoRA: Compact Latent-Space Adapters with Gradient-Free Routing for Continual Learning Investigating Forgetting in Pre-Trained Representations Through Continual Learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-30T10:55:15.291663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.